Patnaik, P R (1996) Preliminary screening of neural network configurations for bioreactor applications. Biotechnology Techniques, 10 (12). ISSN 0951-208X
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Official URL: http://dx.doi.org/10.1007/BF00180404
Abstract
A methodology and a computer code have been devised to perform a preliminary analysis of six types of neural networks commonly employed for bioreactor problems. Both static and time-varying data can be analysed, and the values of the parameters and/or sampling times can be chosen according to the system behavior. The results help to select a suitable network configuration for detailed training and application. This is illustrated for a fed-batch fermentation to produce recombinant -galactosidase. Fulltext Preview
| Item Type: | Article |
|---|---|
| Additional Information: | Copyright of this article belongs to Springer Science. |
| Subjects: | Q Science > QR Microbiology |
| Depositing User: | Dr. K.P.S.Sengar |
| Date Deposited: | 27 Jan 2012 15:08 |
| Last Modified: | 12 Jan 2015 04:26 |
| URI: | http://crdd.osdd.net/open/id/eprint/742 |
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